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All Journal JOIV : International Journal on Informatics Visualization JOURNAL OF SCIENCE AND SOCIAL RESEARCH IT (INFORMATIC TECHNIQUE) JOURNAL Majalah Ilmiah UPI YPTK INFOSYS (INFORMATION SYSTEM) JOURNAL Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Komtekinfo Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) PUBLIDIMAS CSRID LEX JUSTITIA
Negoro, Wahyu Saptha
Universitas Potensi Utama
Aerospace Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Introduction to Image-Based Computer Vision Applications in Modern Medical Practice Rika Rosnelly; Bob Subhan Riza; Edy Victor Haryanto; Wahyu Saptha Negoro; Iwan Fitrianto Rahmad; Vidi Agung Fragastia; Annisa Ashari
Majalah Ilmiah UPI YPTK Vol. 33 (2026) No. 1
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jmi.v33i1.224

Abstract

The development of Artificial Intelligence (AI)—specifically image-based computer vision—has significantly contributed to modern medical practice by enabling more accurate and efficient medical image analysis. However, understanding and practical skills regarding the implementation of computer vision within community and educational settings remain relatively limited. This community service initiative aimed to enhance participants' conceptual understanding and foundational skills in applying image-based computer vision to medical contexts through a hands-on learning approach. The program was conducted via an integrated workshop that combined theoretical instruction with practical exercises using the cloud-based platform Google Colab. Evaluation was carried out using pre- and post-tests alongside practical assessments. Results showed an increase in participants' understanding, with the average score rising from 54.2 to 82.6 (a 52.4% improvement). Notably, 85% of participants were able to execute image processing modules independently, and 88% successfully completed the practical case study. Participant satisfaction reached a score of 4.6 out of 5. This initiative contributes to improving technological literacy and bridging the gap between conceptual understanding and practical competence in the application of AI within the healthcare sector.
Co-Authors Achmad Syahrian Adinda Destari, Ratih Agung Ramadhanu Andreas Jorghy Parapat Andri Armaginda Siregar Annisa Ashari Arbana Syamanta Asbon Hendra Azhar Ashari, Annisa Azhar, Asbon Hendra Bill Raj Bob Subhan Riza Boby Daniel Simatupang Bualazatulo Laia Chan, Fajri Rinaldi Diki Ramanda Diyo Mollana Fazri Dwi Robiul Rochmawati Edy Victor Haryanto Edy Victor Haryanto Fhery Agustin Fragastia, Vidi Agung Fujiati Fujiati Halifia Hendri Hendra Azhar, Asbon Heru Fredi Idzhari Rahman Ivo Ramadhani Iwan Fitrianto Rahmad Jalaluddin Nasution Johan Larissa Navia Rani, Larissa Lima Hartimar Rambe Linda Wahyuni Manza, Yuke Mardison Mardison Mardison Mardison Mhd. Agung Irnanda Muhammad Al Adib Muhammad Reza Putra Nanda Setiawan Rahmad Santoso Rahmat Humala Putra Hasibuan Ramadhani, Ivo Rambe, Lima Hartimar Ratih Adinda Destari Ratih Adinda Destari, Ratih Adinda Rika Rosnelly Rini Oktari Batubara Rita Sari Rita Sari Romi Antoni Saiful Bukhori Simatupang, Boby Daniel Soeheri Soeheri Sofika Enggari Sumijan Sumijan Susiana Khosasih Syahrian, Achmad Yasmin, Nabilla Yiska Dayanti Zagoto Yuhandri Yuhandri, Yuhandri Yuke Manza